Scalable data harmonization for single-cell image-based profiling with CytoTable [0.03%]
CytoTable：基于单细胞图像的可扩展数据统一度量表Profiler
Dave Bunten,Jenna Tomkinson,Erik Serrano et al.
Dave Bunten et al.
High-content imaging (HCI) involves the automated acquisition and quantitative analysis of cell phenotypes from microscopy images. These studies often rely on screening, which can involve thousands of chemical or genetic perturbations that ...
The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence [0.03%]
人工智能风险知识库：人工通用智能风险的元综述、数据库和分类体系
Peter Slattery,Alexander K Saeri,Emily A C Grundy et al.
Peter Slattery et al.
The risks posed by artificial intelligence (AI) concern academics, auditors, policymakers, AI companies, and the public. Researchers, policymakers, and technology companies discuss AI risks using inconsistent terminology-the same word may d...
VoxelCoder: Classification of human cellular phenotypes via autoencoder batch alignment and hyperdimensional representation of cytometry data [0.03%]
基于自动编码器批量对齐和高维表示的细胞计量数据的人类细胞表型分类方法
Benjamin S Mashford,Timothy Hewitt,Maryam May et al.
Benjamin S Mashford et al.
Technical variations in sample processing and instrument calibration, known as batch effects, can obscure true biological signals in cytometry data, impeding the integration of large-scale datasets. We present an autoencoder neural network ...
Modeling of longitudinal immune profiles reveals distinct immunogenic signatures following five COVID-19 vaccinations among people living with HIV [0.03%]
纵向免疫特征建模揭示了HIV感染者接种五种新冠疫苗后的不同免疫原性特征
Chapin S Korosec,Jessica M Conway,Vitaliy A Matveev et al.
Chapin S Korosec et al.
The immune response to vaccination is highly heterogeneous and arises from a dynamic interplay of immune components. Harnessing machine learning (ML) to learn immune interdependencies offers the potential not only to decode immune signature...
Agentic AI as a coordination paradigm in digital health and agri-food systems [0.03%]
以数字医疗和农业食品系统中的协调范式作为代理AI
Anand K Gavai,Miranda P M Meuwissen
Anand K Gavai
Digital health and agri-food data systems increasingly rely on sophisticated machine learning and data-sharing infrastructures. Yet persistent challenges in scalability, accountability, and public trust indicate that technical capability al...
Evolving reservoir computers reveal bidirectional coupling between predictive power and emergent dynamics [0.03%]
演化水库计算机揭示预测能力与涌现动力学之间的双向耦合
Hanna M Tolle,Andrea I Luppi,Anil K Seth et al.
Hanna M Tolle et al.
Biological neural networks perform complex computations to predict their environment, far exceeding the capabilities of individual neurons. Here, we argue that understanding these computations requires considering emergent dynamics-dynamics...
Yi Huang,Yeonju Go,Jin Huang et al.
Yi Huang et al.
Particle colliders produce data at extraordinary rates, posing major challenges for transmission and storage. High-throughput compression algorithms are therefore essential. In the sPHENIX experiment taking data at the Relativistic Heavy Io...
Irving Torres;Evals-Consensus.AI Consortium
Irving Torres;Evals-Consensus.AI Consortium
AI evaluations increasingly shape deployment, governance, and trust, but expectations for how they are conducted and reported remain fragmented. We introduce a cross-sector Delphi process to develop community-endorsed guidance for AI evalua...
Yong Chen,Chenlei Liao,Zeen Cai et al.
Yong Chen et al.
Unraveling urban income segregation fosters social cohesion, urban sustainability, and equitable access to public resources and opportunities for all socioeconomic groups. Here, we show that locations with different segregation levels exhib...
Hierarchical fusion of electrocardiogram and phonocardiogram data improves heart failure detection [0.03%]
基于心电图和心音图的分层融合提升心脏衰竭检测性能
Fei Ma,Haobo Zhang,Siyi Fang et al.
Fei Ma et al.
Heart failure with reduced ejection fraction (HFrEF) is a clinical syndrome with high morbidity and mortality. Developing cost-effective and easily deployable screening methods is crucial for improving early diagnosis and management. We pro...